• No results found

University of Groningen Influences of Complex Topography and Biochemistry on Mesenchymal Stem Cell Differentiation Yang, Liangliang

N/A
N/A
Protected

Academic year: 2021

Share "University of Groningen Influences of Complex Topography and Biochemistry on Mesenchymal Stem Cell Differentiation Yang, Liangliang"

Copied!
21
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

Influences of Complex Topography and Biochemistry on Mesenchymal Stem Cell

Differentiation

Yang, Liangliang

DOI:

10.33612/diss.146104615

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Yang, L. (2020). Influences of Complex Topography and Biochemistry on Mesenchymal Stem Cell Differentiation. University of Groningen. https://doi.org/10.33612/diss.146104615

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

87

CHAPTER 6

Biomimetic Multiscale Hierarchical

Topography Enhances Osteogenic

Differentiation of Human Mesenchymal

Stem Cells

This chapter has been published in:

Liangliang Yang†, Lu Ge†, Qihui Zhou, Taraneh Mokabber, Yutao Pei, Reinier Bron, Patrick van Rijn*.

(3)

88

Abstract

The interface between materials and cells plays a critical role in many biomedical applications. Inspired by the hierarchical architecture of collagen, most abundant structure in the extracellular matrix (ECM), a multiscale hierarchical topography is designed to mimic the collagen nano/micro hierarchical topography. It is hypothesized that the ECM topography affects osteogenesis of human mesenchymal stem cells (hMSCs) but until now, it cannot be studied without the biochemical and mechanical influences of the ECM. The multiscale hierarchical topography is achieved by innovatively using sequentially aligned topography preparation via a silicone stretch-oxidation-release method and imprinting lithography. The anisotropically hierarchical topography influences stem cell morphology, orientation, and osteogenic differentiation. Intriguingly, the design resembling that of assembled collagen, exhibits the highest degree of osteogenesis. The hierarchical topotaxis effects are further exemplified by the enhanced vinculin expression, cell contractility, and more pronounced nuclear translocation of Yes-associated protein (YAP) with the collagen-mimicking topography, indicative for enhanced osteogenesis. The developed multiscale hierarchical system provides insights into the importance of specific biological ECM-like topography by decoupling the biochemical influence. Various diseases, cancer, osteoarthritis, and fibrosis display impaired ECM structures, and therefore our system may have a great potential for tissue engineering approaches and developing in vitro disease models.

Keywords: hierarchical topography, collagen, human mesenchymal stem cells, osteogenic differentiation,

(4)

89

6.1 Introduction

There is a growing need for bioactive materials that are able to direct or enhance cellular behavior, including stem cell differentiation[1–3]. The development of artificial microenvironments that achieve control of stem

cell fate is critical for effective stem cell therapies[4]. Proliferation, migration, and differentiation of stem cells

are regulated by (bio)chemical signals (e.g., surface chemistry[5], proteins[6]), biophysical cues (e.g., stiffness[7,8],

and geometry[9,10]), and cell-cell interactions[11,12]. Among the numerous environmental cues, the extracellular

matrix (ECM) to which cells adhere, contains both biochemical, mechanical, and topographical cues and is still considered as the golden standard for creating an optimal material-cell interface[13–16]. A growing number

of studies have highlighted the important role of substrate topography on the cell fate of different stem cell types[17,18], and this can be modulated by the size and shape of surface topographical structures[19–23]. Aligned

topographical features have been considered as a mimic of fiber-like ECM structures and have been used together with stem cells[9,24,25]. Previously, we identified the importance of both the height and pitch of the

aligned surface structures on cellular behavior including variations in mechanical stimuli as well as providing double directional cues using metallic nanowire overlays to influence and guide cell morphology[26–29]. These

systems provided much insight into the topography-guided cell response, but did not contain the topo-complexity that is found in the natural ECM.

The ECM has inspired biointerface research and a deeper understanding of the biochemical interplay between ECM and cells contributed strongly to the field of biomedicine[30,31]. However, it is challenging to

mimic the topographical features of the ECM, which are multiscale hierarchical micro/nano-structures and the focus is most often on recreating the biochemical or mechanical microenvironment[32,33]. Although, the

ECM is often considered as a random fiber-mesh material, there are highly oriented natural ECM structures found in various tissues, including bone, nerve, and muscle[34–37]. In addition to the meso-scale aligned fibers

in various tissues, ECM components such as collagen, also consist of a complex hierarchical nano/micro structure[38]. Bone consists for 30% of collagen. Collagen protein molecules formed from three chains of

amino acids are a few nanometers in size, and individual collagen fibrils tend to be approximately hundreds of nanometers, whereas actual collagen fibers formed by multiple fibrils are tens of micrometers[38]. More

importantly, wavy wrinkle-like structures could be clearly distinguished on the single collagen fiber, and their direction is perpendicular to collagen fiber (Figure 1A)[39]. To date, cells can sense and interact with the

smallest feature size of a substrate at approximately 5 nm[40]. Therefore, the hierarchically topographical cues

containing micro- and nano-features may be regarded as essential for regulating stem cell fate, which may be a critical factor to consider for the design of synthetic ECMs[41]. Notably, the differently sized features

affect the cellular behavior in a specific fashion. Micro- and nano-sized topographies influence cells by changing cellular morphologies along with the patterns giving rise to the re-organization of the actin cytoskeleton[42] and activating the integrin-mediated intracellular signaling cascade[43], respectively, thus

modulating stem cell differentiation in a synergistic way. Chung and co-workers[41] developed hierarchically

micro- and nanopatterned transplantable patches to study the adhesion and differentiation of hMSCs. However, they only investigated the parallel combination for nano/micro-sized structure, which does not mimic the hierarchical architecture of collagen.

Herein, we hypothesize that the highly defined multiscale hierarchical structure of collagen in vivo modulates the morphology and influences osteogenic differentiation of hBM-MSCs. With the use of collagen, it is not possible to deactivate the biochemical component easily and solely focus on topography. Additionally, it is not possible to vary the nanotopographical features of collagen while maintaining the integrity of the fiber structures. Therefore, to test this hypothesis, we developed substrates with well-defined hierarchical multiscale topographies through a silicone stretch-oxidation-release method and imprinting lithography. Based on this approach, single scale (Flat, W0.5, W3 and W25), double and triple scale (W0.5, W3 and W25 combined with different direction (parallel, perpendicular, 45°)) were prepared (Figure 1B). The sizes

chosen are independently well distinguishable and the orientation could be controlled to an excellent degree. Although the feature sizes do not exactly match the sizes found in collagen, they are in the same order and the hierarchical build-up and orientation is mimicked very well with the important possibility to vary the relative orientation in order to test the hypothesis that the found hierarchy in collagen is important for cells to respond to. Using these platforms, we investigated the influence of anisotropically hierarchical wrinkle structure on the morphology, orientation, and osteogenesis of hBM-MSCs. Furthermore, we examined the connection between osteogenesis and expression of vinculin, cell tension and YAP-TAZ pathway to illustrate the mechanism underneath. It is the first time that the hierarchically multiscale structures which better mimic the collagen architecture in ECM of bone are used to explore stem cell differentiation in vitro.

(5)

90

Figure 1. (A) Hierarchical architecture of collagen in natural bone. Osteons comprise mineralized collagen

fibrils, composed of single collagen fiber and collagen protein molecules (tropocollagen) formed from three chains of amino acids. (B) Biomimic the hierarchical structures of collagen with synthetic material (PDMS) in vitro (single, double, and triple scale substrates), and this enables us to deactivate the biochemical factor easily and solely focus on the influence of topography on stem cell behavior.

6.2 Methods

6.2.1 PDMS film preparation. PDMS film was prepared as described previously[71]. Briefly, PDMS was

prepared by mixing the prepolymer and cross-linker (Sylgard 184, Dow Corning) in a ratio of 10:1 or 15:1 by weight. The mixtures were vigorously stirred with a spatula, degassed under vacuum for 15 min to remove the air bubbles completely, and deposited onto cleaned 12 × 12 cm squared polystyrene Petri dish. The poured PDMS was cured overnight in an oven at 70 °C. After curing, the elastomer film was peeled off from the dish and cut into the desired dimension.

6.2.2 Preparation of aligned topography PDMS substrates. PDMS aligned topography substrates

were prepared as described previously[72,73]. For preparing the aligned topography substrates, PDMS

substrates were placed in a custom-made stretching apparatus and stretched uniaxially by 10-30% of the original length. Stretched PDMS substrates were oxidized using air plasma at varying pressures and oxidation times (Table S1) depending on the desired topography dimensions (Plasma Activate Flecto 10 USB, maximum intensity). After oxidation, the strain was released, which induces the formation of aligned topography (wave-like structures).

6.2.3 Imprinting. The prepared PDMS substrates with aligned topographies were used as molds onto

which a fresh mixture of elastomer base and cross-linker (in a ratio of 10:1 by weight) was poured, followed by curing at 70 °C overnight. After that, the molds were removed and the freshly prepared PDMS substrates with single scale wrinkle structure could be used as new substrates for preparing hierarchical structure.

6.2.4 Preparation of hierarchical topography. For the fabrication of the hierarchical topography

substrates, the W25 imprinted substrate was used as the new substrate, which is suitable to do the stretch-plasma oxidation-release process for adding 3 μm wrinkle size on the top of W25 substrate. Importantly, the stretch direction could be varied with respect to the direction of the first pattern and thereby the double scale hierarchical structure was fabricated with variation in topography direction. Here substrates with parallel direction (W0.5∥W3, W0.5∥W25, named as 0.5∥3 and 0.5∥25, respectively), perpendicular direction (W0.5⊥W3, W0.5⊥W25, subsequently coded as 0.5⊥3 and 0.5⊥25, respectively), and 45°

(6)

91 direction (W0.5 W3, W0.5 W25, referred as 0.5 3 and 0.5 25, respectively) were prepared. For the triple scale hierarchical topography substrate, the imprinted W3∥W25 substrate was used as the new sample, and the process of adding 0.5 μm wavelength of wrinkle was the same for preparing single scale W0.5 substrate as mentioned above. The topography direction could also be changed by tuning the stretching direction with respect to the direction of W3∥W25 substrate. For triple scale topography, W0.5∥W3∥ W25, W0.5⊥W3∥W25, and W0.5⊥W3 W25 were prepared, referred as 0.5∥3∥25, 0.5⊥3∥25 and 0.5⊥3 25, respectively. At last, all samples were oxidized with air plasma at 500 mTorr for 1 min and used for cell seeding. The Flat substrate (control) was prepared and treated the same as the imprints mentioned above (10:1 for elastomer base and cross-linker, same curing and oxidize process), to guarantee all the substrates keep the same surface chemistry and mechanical properties.

6.2.5 Topography characterization. Topography features were characterized by atomic force microscope

(Nanoscope V Dimension 3100 microscope, Veeco, United States) operating in tapping mode in air (model DNP-10 tip). To determine the wavelength and amplitude of the topographies, the obtained AFM images were analyzed using NanoScope Analysis software. In addition, the morphology of the triple scale hierarchical substrates was characterized by environmental scanning electron microscopy (ESEM-XL30, Philips) at an accelerating voltage of 15 kV. Prior to imaging, the samples were sputter-coated with gold for 2 min.

6.2.6 Cell culture. hBM-MSCs (passage 2) were obtained from Lonza and cultured in growth medium

containing Alpha modified Eagle medium (Gibco), 10% (v/v) fetal bovine serum (Gibco), 0.1% ascorbic acid 2-phosphate (Sigma) and 1% penicillin/streptomycin (Gibco). Cells from three different batches were mixed to account for donor heterogeneity and were incubated in T75 culture flasks at 37 °C in a humidified atmosphere with 5% CO2. The culture medium was changed every three days, and cells were harvested at

≈80% confluency. The confluent cells were routinely subcultured by trypsinization. MSCs of passage four were used for all of the experiments.

6.2.7 Immunostaining. All PDMS substrates were cut to circular disks matching the diameter of a 24-well

plate and were sterilized by washing with 70% ethanol and placed in 24-well plates and subsequently washed with PBS before use. Afterwards, hBM-MSCs were seeded onto the substrates at a density of 1×104

cells/well. For immunostaining, hBM-MSCs seeded on the different topographical patterns were fixed with 3.7% paraformaldehyde (Sigma) solution in PBS for 20 min, and subsequently permeabilized with 0.5% Triton X-100 (Sigma) solution in PBS for 3 min and blocked with 5% bovine serum albumin (Sigma) in PBS solution for 30 min. Then the cells were incubated with the primary antibody for alkaline phosphatase (ALP, Developmental Hybridoma Bank, B4-78, 1:100), osteopontin (OPN, Developmental Hybridoma Bank, B4-78, 1:100), Vinculin (Sigma, clone hVin-1, 1:100), pMLC (Cell Signaling,#3675, 1:100), YAP-TAZ (Santa Cruz Biotechnology, SC-101199, 1:100) for 1 h, followed by staining with Rhodamine RedTM

-X labeled goat-anti-mouse antibody (Jackson Immunolab, 1:100) as the secondary antibody. The nucleus and cytoskeleton were stained using4′, 6-diamidino-2-phenylin-dole (DAPI) and tetramethylrhodamine isothiocyanate (TRITC)-phalloidin, respectively by incubation for 1 hour. Finally, the cells were imaged with TissueFaxs (Tissue-Gnostics GmbH, Vienna, Austria) at 10× magnification. Vinculin, Myosin and YAP staining were observed using a LEICA TCS SP2 CLSM equipped with a 40× NA 0.80 water immersion objective. Cell area was analyzed by Tissue Quest software (high-throughput analysis technique) via fluorescent F-actin stained cells. Additionally, image analysis of focal adhesion was done by an online Focal Adhesion Analysis Server[74], and Fiji software was used to measure cell orientation. Directionality analysis

for cell orientation was conducted with Fiji software using the Orientation J plug-in. Only aligned elements were taken into account for the directionality algorithm in an entire image, and for each substrate, at least 200 cells were taken into consideration. The fluorescent intensity of myosin was quantified as described previously[75].

6.2.8 Osteogenic differentiation of MSCs. hBM-MSCs were seeded on PDMS substrates with different

topography features at a cell density of 1×104 cells/well. All plates were stored in an incubator at 37 °C, 5%

CO2 and 24 h later the growth medium was replaced by osteogenic differentiation medium (OM) consisting

of growth medium supplemented with 10 mM glycerophosphate (Sigma) and 100 nM dexamethasone (Sigma). The cells were cultured for 21 days, with the differentiation medium being replaced every three

(7)

92

days. Subsequently, all cells on different substrates were fixed with 3.7% PFA for 20 min and permeabilized with 0.5% TritonX-100 for 20 min. ALP and nucleus staining were performed as indicated above.

The mineralization of the extracellular matrix, the last step of the osteogenic differentiation, was evaluated by Alizarin Red Staining (ARS, Sigma) after 21 days of cell culture under differentiation conditions. The samples were washed twice with Dulbecco’s phosphate buffered-saline (DPBS, Gibco), fixed with 4% paraformaldehyde for 15 minutes and then a solution of 0.1% Alizarin Red S solution was added so that it covered the entire surface of the wells containing cells. After incubation at room temperature for 30 minutes, the excess of ARS was washed with DPBS. Positive red staining represents calcium deposition by the differentiated cells. For a quantitative calcium deposition analysis, the cultures stained by Alizarin Red S were de-stained with 10% cetylpyridinum chloride in 10mM sodium phosphate buffer at room temperature for 30 minutes to release the bound calcium. The supernatant was collected and the absorbance was measured by a microplate reader (BMG LABTECH, Offenburg, Germany) at 540 nm. The results were normalized with the corresponding cell numbers in each well. The cell number was determined by nucleus staining with DAPI, and quantitative analysis of the positively stained cells using the high-throughput analysis technique (TissueQuest software) after imaging with a TissueFaxs microscopy setup.

6.2.9 Statistics. All data points were expressed as mean values ± standard deviation. Statistical analysis was

performed with Origin 9.0 software. All data were analyzed using one-way analysis of variance (ANOVA) with Tukey’s test to determine differences between groups, *P < 0.05, **P < 0.01, and ***P < 0.001, respectively.

6.3 Results

6.3.1 Hierarchical structured substrate preparation and characterization

The ECM of bone has an anisotropic architecture consisting of well-aligned nano/micro-scale structures. However, it is important to highlight that the surface of a collagen fiber is also structured with a wavy-like architecture rather than being smooth (Figure 1A). Thus, the developed system would provide a method

to address the hypothesis that whether or not well defined hierarchically topography consisting of nano- and micropatterned structure as found in collagen bundles aid in the guidance of cells and direct the commitment of stem cells.

(8)

93

Figure 2. Schematic illustration of the fabrication of various scales wrinkle substrates. (A) After PDMS

membrane stretched and oxidized, uniform single scale wrinkle emerged. (B, D) Imprinting process to obtain a newly soft substrate with the same topography of mold. (C, E) Stretch and oxidize the new substrate again to prepare the double and triple scale substrate, respectively. (F) hBM-MSCs were seeded onto the triple scale hierarchical substrate.

To mimic the hierarchical structure of collagen, the main ECM component of bone, a methodology to fabricate multiscale hierarchical PDMS substrates was first developed by a combination of sequentially aligned topography preparation via a silicone stretch-oxidation-release method and imprinting lithography.

Figure 2 shows the schematic approach of the fabrication of multiscale hierarchical substrates. After the

fabrication of the single scale substrate (the conditions were summarized in Table S1), the multiscale hierarchical topography was prepared in a sequential fashion of a repeating procedure. This procedure provides control of the orientation of the newly added topography with respect to the previous topography by controlling the stretching direction. It is worth noting that the addition of a new topography was done by adding a smaller feature on top of the larger feature rather than the reverse. In addition, the surface of the substrate will form a glass-like (SiO2) layer after the oxidation process, so it is critical that an imprint of

the topography in pristine PDMS is prepared before the preparation of double and triple scale topography substrates. This substrate can then be stretched and oxidized for implementing the next topography. It provides the possibility to create the hierarchical structure in a highly controlled fashion with impeccable control of the orientation of the aligned topographies with respect to one another. In this study, three different scaled hierarchical topography substrates were prepared: triple scale (0.5∥3∥25, 0.5⊥3∥25, and 0.5⊥3 25), double scale (parallel: 0.5∥3 and 0.5∥25; perpendicular: 0.5⊥3 and 0.5⊥25; and 45°combination: 0.5 3 and 0.5 25), and single scale (Flat, W0.5, W3 and W25). It has to be noted that in order to keep the same surface and mechanical properties, all single scale and multiscale substrates were implemented the same imprinting process (10:1 for elastomer base and cross-linker) and oxidization condition (500 mTorr for 1 min) for further cell experiments.

The surface features after imprinting were characterized by atomic force microscopy (AFM). As shown in

Figure S1, wave-like topographies (single scale) were achieved with varying dimensions (wavelength (W;

μm) and amplitude (A; μm)) of W0.5A0.05, W3A0.7 and W25A4.3. The different surface topographies are further reported as Flat, W0.5, W3, and W25. The angle between the different topographies was varied by controlling the stretching direction of the freshly imprinted structures. Although any angle (orientation) may be chosen, we limited the system here to 0° (parallel), 45° (oblique), and 90° (orthogonal). As shown in

Figure 3, W0.5 and W3 topography were formed onto the surface with the W25 topography by following

the described procedure (lower magnification of images are shown in Figure S2). The height profiles of

(9)

94

Figure 3. AFM images and height profiles of the structured PDMS surfaces obtained after imprinting. The

colored lines stand for the position from AFM image to draw the height profiles (n ≥ 30 wrinkles for each imprint, three independent imprints). Scale bar is 1 μm. Inset shows the image with a lower magnification (showed in Figure S2) and the scale bar is 10 μm.

Importantly, for triple scale substrates, W0.5 and W3 could be clearly observed on the top of W25 with different combinations of the topography directions. Besides, the surface of triple scale hierarchical substrates was characterized by environmental scanning electron microscopy (ESEM) as displayed in

Figure 4, and the lower magnification images are shown in Figure S3 also displaying the morphologies of

the hierarchical structures. Taken together, the results demonstrate that our innovative fabrication method is scalable and tunable, providing complex multiscale hierarchical topography substrates that mimic the structure build-up of collagen. Therefore, this enables us to investigate the influence of multiscale architecture on stem cell behavior.

(10)

95

6.3.2 Morphology and orientation of hBM-MSCs affected by multiscale topography

Cell elongation and orientation are a morphological feature essential for many anisotropic tissue functions[44].

Using the micro- and nanosized hierarchical structure as cell culture substrates, we explored the effect of hierarchical topography on the morphology and orientation of hBM-MSCs. To this end, we fabricated three scales of micro- and nanopatterned hierarchical substrates as well as a Flat surface as a control. Cells were cultured for one day on substrates with topography composed of different levels of hierarchy (single, double and triple scale). Cell alignment, expressed as the percentage of cells that have their main axis within 10° from the direction of the topography[45,46], was quantified with Fiji software. As shown in Figure 5, cell

(11)

96

Figure 5. Influence of multiscale hierarchical structure on the morphology and orientation of hBM-MSCs.

The upper row was the representative immunofluorescent images of hBM-MSCs grown on different topographies, and the lower row stand for the distribution of cell orientation with respect to the direction of the applied topography. Cell cytoskeleton and cell nucleus were stained with TRITC-labeled phalloidin (red) and DAPI (blue), respectively. The white arrow indicates the direction of wrinkle with the larger wavelength. Totally ≥ 8 images per sample and 3 independent samples were analyzed. The scale bar for all the images is 100 μm.

From immunofluorescent imaging and quantification of results for cell orientation, it was seen that hBM-MSCs grown on Flat and W0.5 showed isotropic fibrous F-actin networks (phalloidin staining of the cytoskeleton) and were randomly oriented (the orientation degree was 17% for W0.5). In contrast, W3 and W25 substrates promoted orientation of cells along the long axis of the topography, and cell orientation was 59% and 58%, respectively. This illustrates that larger topographies (W3 and W25) resulted in cells with highly elongated shapes compared to Flat substrates, which coincides with our previous results[28,47]. For the

double scale substrates, hBM-MSCs on parallel direction (0.5∥3 and 0.5∥25) showed more aligned F-actin fiber bundles and the cells were more elongated and orientated along the direction of wrinkles (80% and 60%, respectively). In contrast, cells on the substrates with perpendicular direction (0.5⊥3, 0.5⊥25) showed less degree of elongation and orientation (71% and 51%, respectively). Interestingly, cells on 0.5∥ 3 and 0.5∥25 showed more alignment and orientation compared to those on single scale substrates (W0.5, W3, and W25). The triple scale substrate, 0.5∥3∥25, induced the strongest cell elongation and the highest degree of orientation (96%), much higher than the other two triple scale substrates (80% for 0.5⊥3∥25 and 55% for 0.5⊥3 25) and the single and double substrates. This difference indicates that cell morphology was greatly dependent on the combined direction of multiscale substrate and specific parameters. In addition, we also quantified the cell area (two dimension) by actin staining after cultured for one day (Figure S4). Compared to single scale substrates (except W25), cell area for double and triple scale

substrates significantly decreased. The cells cultured on the group of 0.5⊥3 25 substrate had the smallest cell area (about 900 μm2), much smaller than that on the double scale substrates (around 1250 μm2).

Collectively, our finding suggest that hierarchical structures consisting of nano/micro-size and the direction between the different combinations of topography have a synergistic role in adjusting the macroscopic behavior of MSCs.

6.3.3 Enhancement of osteogenesis of hBM-MSCs by the hierarchical structure

Because collagen with its hierarchical topography is abundant in bone, we next assessed the effect of micro- and nano-structured hierarchical topography on the osteogenesis of hBM-MSCs. To this end, we cultured stem cells on the substrates in osteogenic induction medium (OM) for 14 and 21 days. The degree of osteogenesis of hBM-MSCs was determined by quantitative ALP and OPN immunofluorescent staining which was assessed via automated imaging (TissueFaxs). The automated approach enables that imaging is done using the same parameters for the whole imaging process. The final functional differentiation state, namely the formation of mineral, was further confirmed by Alizarin Red staining. The Flat surface was used as a control group.

6.3.3.1 ALP and OPN expression

Alkaline phosphatase (ALP) is an important early marker for the osteogenic differentiation of stem cells[48].

Therefore, the detection of ALP activity is essential to evaluate the osteogenic differentiation degree of hBM-MSCs[49]. Figure 6A showed hBM-MSCs cultured in OM for 14 days and various fluorescence density

of stained ALP was observed among single, double, and triple scaled hierarchical substrates.

For the single scale substrate, there was enhanced expression of ALP on W3 compared to W0.5 and W25, however, cells showed minimal expression of ALP on Flat substrate (Figure S5). Interestingly, for the

double scale surface (Figure 6A), cells cultured on 0.5⊥3 and 0.5⊥25 had stronger ALP intensity

compared to 0.5∥3 and 0.5∥25, respectively, suggesting that the direction of multiscale substrate had an important influence on ALP expression. For the triple scale substrates, ALP activity of hBM-MSCs grown on 0.5⊥3∥25 was significantly improved compared to the cells on 0.5∥3∥25 and 0.5⊥3 25, indicating that the structure which resembles the collagen topography promotes osteogenic differentiation of hBM-MSCs. These effects were quantified by assessing the fluorescence intensity for the 14 days differentiation

(12)

97 and the results were shown in Figure 6C. The fluorescence output was normalized for the cell number and

it correlated well with the qualitative analysis. The results showed that 0.5⊥3 and 0.5⊥25 significantly facilitate osteogenic differentiation of hBM-MSCs as illustrated by a 2.3 and 3.2 fold increase, respectively, as compared to the Flat substrate. The difference became even more striking among triple scale hierarchical substrates, where a 5.5 fold increase was observed for 0.5⊥3∥25. Except for ALP, we also examined the osteopontin (OPN), as it is a late marker in the differentiation process[50]. The results (Figure 6B and Figure 6D) follow a similar trend as for ALP. For the double scale substrates, the expression of OPN, as indicated

by the presence of fluorescence signal, was higher in cells cultured on 0.5⊥3 and 0.5⊥25 than those on the 0.5∥3 and 0.5∥3, respectively. For the triple scale substrates, the intensity was the highest in cells cultured on 0.5⊥3∥25 compared to other two substrates (0.5∥3∥25 and 0.5⊥3 25). Taken together, these results indicate the importance of the specific biological hierarchical arrangement of collagen on cell differentiation.

Figure 6. Immunofluorescence staining of osteogenic marker (A) ALP and (B) OPN of cells grown on

double and triple scale substrates cultured in OM for 14 days. Cells were stained for DAPI (nucleus, blue), and ALP/OPN (red). The scale bar for all the images is 100 μm. Quantification of the expression of (C) ALP and (D) OPN in cells cultured in OM at day 14, normalized by cell number (n ≥ 100 cells and each experiment was performed in triplicate). Data are shown as mean ± standard deviation (SD), and *P < 0.05.

(13)

98

6.3.3.2 Mineralization affected by the specific orientations of the hierarchical topographies

The generation of mineralized nodules, caused by the calcium secretion of MSCs, is a vital function indicator of osteoblasts that is usually used to evaluate the osteogenic differentiation of MSCs[51] and can be confirmed

by Alizarin Red staining[52]. To assess the degree of osteogenesis, hBM-MSCs cultures were stained using

Alizarin Red after 21 days of culturing in OM. From the results of ALP and OPN expression for 14 days, the triple scaled hierarchical substrates were selected. The images of Alizarin Red staining showed substantial differences between the different substrates (Figure 7A). The results demonstrate that the calcium

expression was higher for hBM-MSCs cultured on the 0.5⊥3∥25 substrate than on the other two substrates (0.5∥3∥25 and 0.5⊥3 25) and this was in line with the highest expression of both ALP and OPN. To quantify the degree of osteogenesis of hBM-MSC, the stained calcium deposits were de-stained, and the optical density (OD) of the extracted mineral phase was measured. As shown in Figure 7B, the

highest OD540 was obtained for cells grown on 0.5⊥3∥25 followed by those on 0.5⊥3 25, and the

lowest for 0.5 ∥ 3 ∥ 25. This further confirms that 0.5 ⊥ 3 ∥ 25 substrates enhanced osteogenic differentiation, while culturing on 0.5∥3∥25 suppressed osteogenesis. Overall, these results further indicate that the spatial distribution of surface topographies as well as topography shapes and dimensions are critical for the differentiation of stem cells. Therefore, it suggests that hierarchically multiscale topographies are extremely important in the structure of collagen and that it is not just a mere presentation of biochemical factors such as the cell-binding sites present within the collagen amino-acid sequence.

Figure 7. (A) Representative images of calcium nodules stained with Alizarin Red showing extracellular

calcium deposits by hBM-MSC-derived osteoblasts cultured in OM for 21 days. (B) Mineralization quantitated by elution of Alizarin Red staining from stained mineral matrix. Data were shown as mean ± standard deviation (SD), each experiment was performed in triplicate, and *P < 0.05, ***P < 0.001. Scale bar represents 0.5 cm.

6.3.4 Focal adhesion, cell tension and YAP-TAZ signal pathway affected by the hierarchical structure

Based on the significant difference among triple scale substrates for osteogenic differentiation, attention was paid to the formation of focal adhesions (FA), the direct communication tool of cells with their environment. FA are adhesion plaques formed by an assembling complex of integrins and proteins[53]. It

has been demonstrated that the formation of FAs are related with the RhoA/ROCK signaling pathway by affecting the cytoskeleton and cell contractility and it was also found that more formation of FAs are beneficial for osteogenesis[54,55]. Our previous study has reported that topographical dimension can provide

significant stimulation to influence the organization of focal adhesion complexes[28]. The expression of FAs

in hBM-MSCs was assessed by immunofluorescence staining for vinculin and visualized by CLSM after 24 hours seeded onto the different substrates. As shown in Figure 8A, significant differences in focal adhesion

(14)

99 more well-defined dash-like vinculin spots (typical regarded as mature focal adhesions). In contrast, cells grown on 0.5∥3∥25 showed dot-like (transient) vinculin spots, indicating that 0.5⊥3∥25 and 0.5⊥3 25 could enhance the expression of vinculin. To better understand the focal adhesion formation on different substrates, FA area per cell was quantitatively analyzed (Figure 8B). FA area for cells cultured on 0.5⊥3∥

25 (294 μm2) and 0.5⊥3 25 (257 μm2) are much higher than 0.5∥3∥25 (216 μm2). These results indicate

that comparing substrates with the same anisotropical hierarchical features, the relative direction of the features with respect to one another greatly influence the formation of FAs.

Figure 8. Immunofluorescent staining of nuclei (blue), (A) vinculin/ (C) myosin/ (E) YAP-TAZ (red), and

actin (green) for hBM-MSCs after 1 day cultivation on different substrates. The enlarged image for TAZ staining is included in Figure S6. The white arrows refer to the location of interest for nuclear YAP-TAZ localization. Scale bar represents 20 μm. Quantitative analysis of (B) FA area per cell, (D) integrated fluorescence intensity of myosin, and (F) the number of cells with nuclear localization of YAP-TAZ. Data

(15)

100

are shown as mean ± standard deviation (SD), n ≥ 30 cells (each experiment was performed in triplicate), and *P < 0.05, **P < 0.01.

Cytoskeletal contractility and tension can be characterized by phosphorylated myosins[15]. A further study

on cell tension was performed to speculate whether or not cell tension influences the lineage commitment of stem cells. In our study, immunofluorescent staining of myosin was performed for hBM-MSCs after 24h cell culture. The immunostaining results (Figure 8C) showed that for cells grown on 0.5⊥3∥25 and 0.5

⊥3 25, stronger fluorescence intensity was observed compared to 0.5∥3∥25. The quantification (Figure 8D) was consistent with the observation from immunostaining images. It shows that myosin

expression for cells grown on 0.5⊥3∥25 and 0.5⊥3 25 was significantly enhanced about 4.3 and 3.3-fold higher than cells on 0.5∥3∥25, indicating that 0.5⊥3∥25 and 0.5⊥3 25 substrates could improve the expression of myosin, illustrating a stronger cell contractility/tension. These results suggest that hierarchical structure greatly influences cell contractility.

Biophysical stimuli regulate the functionality of the transcription cofactors YAP and TAZ, which is a key regulatory element that controls the gene expression and is located either in the cytosol or in the nucleus as a consequence of the physical stimuli that the cells receive[56]. When in the nucleus, the paralogs YAP-TAZ

modulate gene expression, but upon phosphorylation, they are sequestered in the cytoplasm[57]. The huge

difference in the osteogenesis behavior on the triple scale structure urged us to investigate whether downstream signaling pathways are also affected, as YAP-TAZ signaling is known to be responsible for many downstream transcriptional outcomes of mechanotransduction[58,59]. Here, we examined its expression

in the hBM-MSCs on different structures of triple scale hierarchical substrates. The expression of YAP-TAZ in hBM-MSCs was assessed by immunofluorescence staining 24 hours after being seeded onto the different topographies. As shown in Figure 8F, the direction of hierarchical topography had a substantial

effect on the localization of YAP-TAZ for which the percentage of YAP-TAZ located in the nucleus was quantified, which is a commonly adopted method to illustrate the topo-sensitivity[60,61]. The results showed

that for cells cultured on 0.5⊥3∥25 and 0.5⊥3 25 substrates, YAP-TAZ was present in the nucleus for about 66%, and 51% of the cells, respectively (Figure 8F). In contrast, expression of YAP-TAZ for cells

cultured on 0.5∥3∥25 was predominantly cytoplasmic and the percentage of cells with positive nuclear YAP-TAZ was only 30%. Taken together, these results imply that the enhanced osteogenic differentiation of hBM-MSCs was partially mediated by YAP-TAZ signaling, cell contractility, and focal adhesions.

6.4 Discussion

Preparing an effective substrate platform that could better mimic the ECM structure in vivo and further manipulate cellular functions is very important for both understanding the importance of specific topographical cues in natural ECM components and promoting the development of stem cell-based therapy for clinical applications[62,63]. Previous studies demonstrated that the fate of stem cells are sensitively

regulated by the stiffness and topography of substrates[4,9,64–66]. Regarding fabricating platforms that mimic

the topographical features of ECMs, little attention has been devoted to the hierarchical property of ECMs due to technical limitations[67,68]. In other words, the current fabricated simple topographies cannot provide

cells with the precisely defined biophysical cues of native physiological microenvironments composed of nano- and microscale topographies, which may cause a major barrier for constructing functional tissues or organs. To address this challenge, we developed a synthetic ECM-like structure fabrication approach with hierarchically micro- and nanopatterned surfaces with precisely controlled sizes and directions. Furthermore, the effects of hierarchical structure on cellular behavior and stem cell differentiation were investigated. Although, more closely mimicking the real size features would further enhance the topography mimicking approach of collagen, this study does illustrate the important role of hierarchical structures and their defined orientations in modulating the cell behavior and osteogenic differentiation.

It is generally known that hierarchical topography consisting of micro- and nanoscale structure adjusts stem cell differentiation via the synergistic modulation the elongation/orientation of cell cytoskeleton and intracellular focal adhesion protein assembly[4,9]. On the one hand (cell elongation), researchers have shown

that the optimal cell aspect ratio for osteogenic differentiation is about 2, let alone with or without external chemical induction factors, indicating that cell shape itself is an inherent factor in regulating stem cell differentiation[69]. On the other hand (focal adhesion), the anisotropic nanotopographies are known to

(16)

101 polymerization[1,70]. Researchers demonstrated that a hierarchical substrate platform with microgroove

(groove size: 1.5 μm) and nanopore (pore diameter: 10 nm) synergistically promoted neuron differentiation of neural stem cells, and the focal adhesion was increased on the hierarchical substrates because of the nanopore structures[4]. In addition, our previous study has reported that the width of aligned

microtopographical patterns could force cell body to align and grow along the direction of wrinkle substrates because of space restriction, and the topographical dimension can provide significant stimulation to influence the organization of focal adhesion complexes[28,47].

In our study, the reason for the highest degree of osteogenic differentiation for 0.5⊥3∥25 is probably due to microscale wrinkle structure providing the elongated and orientated cytoskeleton, and nanoscale cue that gives rise to the enhanced focal adhesion and actin organization via the RhoA/ROCK pathway. Compared to the other two triple scale substrates (0.5∥3∥25, 0.5⊥3 25), cells cultured on 0.5⊥3∥25 have the highest degree of osteogenesis (Figure 6, Figure 7). Cells had the longest elongation for the substrate of

0.5∥3∥25 among three triple scale substrates, which exceed the optimal cell aspect ratio for improving osteogenesis. For 0.5⊥3∥25, cells exhibited larger focal adhesion area probably due to the nanometer structure (W0.5), further promoted cell tension/contractility and more YAP-TAZ (Figure 8) translocated

into cell nucleus, giving rise to the enhanced osteogenic differentiation. We present a schematic mechanistic explanation that describes the substrate which biomimic structure of collagen induced an accelerating effect on the osteogenic differentiation (Figure 9). However, further investigations are necessary to fully elucidate

the signal pathway involved in the regulation osteogenesis of hBM-MSCs stimulated by the hierarchical platform.

Figure 9. Schematic representation of the interaction between hBM-MSCs and hierarchical structure. 0.5

⊥3∥25 substrate mimicking the hierarchical structure of collagen allows stem cells to have more focal adhesion, stronger intracellular tension, yielding more YAP/TAZ nuclear localization and subsequently enhancing the osteogenic differentiation.

Our multiscale hierarchical substrates have other possible applications in the field of stem cell-based tissue engineering. For instance, precisely defined multiscale hierarchical topographies consisting of micro- and nano-size could further be used as a strategy for the design and fabrication of functional scaffolds. In this

(17)

102

study, while focused on osteogenic differentiation for bone regeneration, we expect to mimic the native structure of hierarchical architecture of ECM in other tissues, such as nerve, tendon, and muscle, as these tissues also have hierarchical architectures at multiple scales, which size ranging from nanometer to hundreds of micrometers. Therefore, this multiscale hierarchical platform has great potential in facilitating application development for tissue engineering and regenerative medicine approaches.

6.5 Conclusion

For the first time, a multiscale hierarchical substrate is successfully designed and prepared to mimic the hierarchical architecture of collagen. An innovative approach was developed involving sequentially aligned topography preparation via a silicone stretch-oxidation-release method and imprinting lithography. It is found that the hierarchical topographies have a significant influence on the morphology, orientation, and osteogenic differentiation of hBM-MSCs. Intriguingly, the 0.5⊥3∥25 substrate, resembling collagen topography/structure the most, exhibits the highest capacity of osteogenesis. We further demonstrate that the differences in cell response among triple scale substrate is regulated via the focal adhesion, cell tension and YAP-TAZ signaling pathway. Together, our work illustrates the significance of platforms that mimic the native structure of collagen, and provides insight into the design and manipulation of functional engineered constructs using multiscale hierarchical topography-based substrates for various biomedical applications, including stem cell therapy and tissue engineering.

Author Contributions

(18)

103

6.6 References

[1] C. H. Seo, H. Jeong, Y. Feng, K. Montagne, T. Ushida, Y. Suzuki, K. S. Furukawa, Biomaterials 2014,

35, 2245.

[2] M. P. Lutolf, P. M. Gilbert, H. M. Blau, Nature 2009, 462, 433.

[3] R. A. Marklein, J. A. Burdick, Adv. Mater. 2010, 22, 175.

[4] K. Yang, H. Jung, H. R. Lee, J. S. Lee, S. R. Kim, K. Y. Song, E. Cheong, J. Bang, S. G. Im, S. W. Cho, ACS Nano 2014, 8, 7809.

[5] Z. Chen, A. Bachhuka, S. Han, F. Wei, S. Lu, R. M. Visalakshan, K. Vasilev, Y. Xiao, ACS Nano

2017, 11, 4494.

[6] M. Lin, S. Mao, J. Wang, J. Xing, Y. Wang, K. Cai, Y. Luo, Biomaterials 2018, 162, 170.

[7] M. Wang, C. Cui, M. M. Ibrahim, B. Han, Q. Li, M. Pacifici, J. T. R. Lawrence, L. Han, L. H. Han, Adv. Funct. Mater. 2019, 29, 1.

[8] Y. Hou, L. Yu, W. Xie, L. C. Camacho, M. Zhang, Z. Chu, Q. Wei, R. Haag, Nano Lett. 2020, 20,

748.

[9] J. Baek, W.-B. Jung, Y. Cho, E. Lee, G.-T. Yun, S.-Y. Cho, H.-T. Jung, S. G. Im, ACS Appl. Mater. Interfaces 2019, acsami.9b03479.

[10] E. Ko, S. J. Yu, G. J. Pagan-Diaz, Z. Mahmassani, M. D. Boppart, S. G. Im, R. Bashir, H. Kong, Adv. Sci. 2019, 6, 1801521.

[11] J. Guerrero, S. Catros, S.-M. Derkaoui, C. Lalande, R. Siadous, R. Bareille, N. Thébaud, L. Bordenave, O. Chassande, C. Le Visage, D. Letourneur, J. Amédée, Acta Biomater. 2013, 9, 8200.

[12] Y. Aizawa, M. S. Shoichet, Biomaterials 2012, 33, 5198.

[13] B. Trappmann, J. E. Gautrot, J. T. Connelly, D. G. T. Strange, Y. Li, M. L. Oyen, M. a. Cohen Stuart, H. Boehm, B. Li, V. Vogel, J. P. Spatz, F. M. Watt, W. T. S. Huck, Nat. Mater. 2012, 11, 742.

[14] D. M. Le, K. Kulangara, A. F. Adler, K. W. Leong, V. S. Ashby, Adv. Mater. 2011, 23, 3278.

[15] A. J. Engler, S. Sen, H. L. Sweeney, D. E. Discher, Cell 2006, 126, 677.

[16] H. V Unadkat, M. Hulsman, K. Cornelissen, B. J. Papenburg, R. K. Truckenmüller, A. E. Carpenter, M. Wessling, G. F. Post, M. Uetz, M. J. T. Reinders, D. Stamatialis, C. A. van Blitterswijk, J. de Boer, Proc. Natl. Acad. Sci. U. S. A. 2011, 108, 16565.

[17] T. Dalgleish, J. M. G. . Williams, A.-M. J. Golden, N. Perkins, L. F. Barrett, P. J. Barnard, C. Au Yeung, V. Murphy, R. Elward, K. Tchanturia, E. Watkins, ACS Nano 2013, 136, 23.

[18] K. K. B. Tan, J. Y. Tann, S. R. Sathe, S. H. Goh, D. Ma, E. L. K. Goh, E. K. F. Yim, Biomaterials

2015, 43, 32.

[19] M. J. Dalby, N. Gadegaard, R. O. C. Oreffo, Nat. Mater. 2014, 13, 558.

[20] E. H. Ahn, Y. Kim, Kshitiz, S. S. An, J. Afzal, S. Lee, M. Kwak, K. Y. Suh, D. H. Kim, A. Levchenko, Biomaterials 2014, 35, 2401.

[21] J. H. Kim, B. G. Park, S. K. Kim, D. H. Lee, G. G. Lee, D. H. Kim, B. O. Choi, K. B. Lee, J. H. Kim, Acta Biomater. 2018, 95, 337.

[22] S. L. Vega, V. Arvind, P. Mishra, J. Kohn, N. Sanjeeva Murthy, P. V. Moghe, Acta Biomater. 2018,

76, 21.

[23] P. P. S. S. Abadi, J. C. Garbern, S. Behzadi, M. J. Hill, J. S. Tresback, T. Heydari, M. R. Ejtehadi, N. Ahmed, E. Copley, H. Aghaverdi, R. T. Lee, O. C. Farokhzad, M. Mahmoudi, Adv. Funct. Mater.

2018, 28, 1.

[24] Y.-J. Choi, S. J. Park, H.-G. Yi, H. Lee, D. S. Kim, D.-W. Cho, J. Mater. Chem. B 2018, 6, 5530.

[25] K. H. Song, S. J. Park, D. S. Kim, J. Doh, Biomaterials 2015, 51, 151.

[26] Q. Zhou, Z. Zhao, Z. Zhou, G. Zhang, R. C. Chiechi, P. van Rijn, Adv. Mater. Interfaces 2018, 5, 1.

[27] G. Abagnale, A. Sechi, M. Steger, Q. Zhou, C. C. Kuo, G. Aydin, C. Schalla, G. Müller-Newen, M. Zenke, I. G. Costa, P. van Rijn, A. Gillner, W. Wagner, Stem Cell Reports 2017, 9, 654.

[28] Q. Zhou, O. Castañeda Ocampo, C. F. Guimarães, P. T. Kühn, T. G. Van Kooten, P. Van Rijn, ACS Appl. Mater. Interfaces 2017, 9, 31433.

[29] Q. Zhou, P. Wünnemann, P. T. Kühn, J. de Vries, M. Helmin, A. Böker, T. G. van Kooten, P. van Rijn, Adv. Mater. Interfaces 2016, 3, DOI 10.1002/admi.201600275.

[30] L. Lin, M. Liu, L. Chen, P. Chen, J. Ma, D. Han, L. Jiang, Adv. Mater. 2010, 22, 4826.

[31] J. J. Green, J. H. Elisseeff, Nature 2016, 540, 386.

[32] L. Rossetti, L. A. Kuntz, E. Kunold, J. Schock, K. W. Müller, H. Grabmayr, J. Stolberg-Stolberg, F. Pfeiffer, S. A. Sieber, R. Burgkart, A. R. Bausch, Nat. Mater. 2017, 16, 664.

(19)

104

[33] J. H. Wen, L. G. Vincent, A. Fuhrmann, Y. S. Choi, K. C. Hribar, H. Taylor-Weiner, S. Chen, A. J. Engler, Nat. Mater. 2014, 13, 979.

[34] Z. Yin, X. Chen, J. L. Chen, W. L. Shen, T. M. H. Nguyen, L. Gao, H. W. Ouyang, Biomaterials 2010,

31, 2163.

[35] P. Podsiadlo, A. K. Kaushik, E. M. Arruda, A. M. Waas, B. S. Shim, J. Xu, H. Nandivada, B. G. Pumplin, J. Lahann, A. Ramamoorthy, N. A. Kotov, Science (80-. ). 2007, 318, 80.

[36] M. Georgiou, S. C. J. Bunting, H. A. Davies, A. J. Loughlin, J. P. Golding, J. B. Phillips, Biomaterials

2013, 34, 7335.

[37] G. C. Engelmayr, M. Cheng, C. J. Bettinger, J. T. Borenstein, R. Langer, L. E. Freed, Nat. Mater.

2008, 7, 1003.

[38] Y. Li, Y. Xiao, C. Liu, Chem. Rev. 2017, 117, 4376.

[39] U. G. K. Wegst, H. Bai, E. Saiz, A. P. Tomsia, R. O. Ritchie, Nat. Mater. 2015, 14, 23.

[40] M. Foss, P. Kingshott, F. Besenbacher, J. L. Hansen, A. N. Larsen, J. Chevallier, D. C. Kraft, ACS Nano 2010, 4, 2874.

[41] J. Kim, W. G. Bae, H. W. Choung, K. T. Lim, H. Seonwoo, H. E. Jeong, K. Y. Suh, N. L. Jeon, P. H. Choung, J. H. Chung, Biomaterials 2014, 35, 9058.

[42] C. Y. Tay, H. Yu, M. Pal, W. S. Leong, N. S. Tan, K. W. Ng, D. T. Leong, L. P. Tan, Exp. Cell Res.

2010, 316, 1159.

[43] T. A. Petrie, J. E. Raynor, D. W. Dumbauld, T. T. Lee, S. Jagtap, K. L. Templeman, D. M. Collard, A. J. García, Sci. Transl. Med. 2010, 2, 45.

[44] M. Prager-Khoutorsky, A. Lichtenstein, R. Krishnan, K. Rajendran, A. Mayo, Z. Kam, B. Geiger, A. D. Bershadsky, Nat. Cell Biol. 2011, 13, 1457.

[45] J. L. Charest, M. T. Eliason, A. J. García, W. P. King, Biomaterials 2006, 27, 2487.

[46] K. Zhang, H. Zheng, S. Liang, C. Gao, Acta Biomater. 2016, 37, 131.

[47] Q. Zhou, P. T. Kühn, T. Huisman, E. Nieboer, C. Van Zwol, T. G. Van Kooten, P. Van Rijn, Sci. Rep. 2015, 5, 1.

[48] I. G. Kim, M. P. Hwang, P. Du, J. Ko, C. won Ha, S. H. Do, K. Park, Biomaterials 2015, 50, 75.

[49] J. Li, X. Mou, J. Qiu, S. Wang, D. Wang, D. Sun, W. Guo, D. Li, A. Kumar, X. Yang, A. Li, H. Liu, Adv. Healthc. Mater. 2015, 4, 998.

[50] A. A. Eid, K. A. Hussein, L. Niu, G. Li, I. Watanabe, M. Al-Shabrawey, D. H. Pashley, F. R. Tay, Acta Biomater. 2014, 10, 3327.

[51] J. Qiu, J. Li, S. Wang, B. Ma, S. Zhang, W. Guo, X. Zhang, W. Tang, Y. Sang, H. Liu, Small 2016,

12, 1770.

[52] A. B. Faia-Torres, M. Charnley, T. Goren, S. Guimond-Lischer, M. Rottmar, K. Maniura-Weber, N. D. Spencer, R. L. Reis, M. Textor, N. M. Neves, Acta Biomater. 2015, 28, 64.

[53] S. Fusco, V. Panzetta, V. Embrione, P. A. Netti, Acta Biomater. 2015, 23, 63.

[54] I. Lauria, M. Kramer, T. Schröder, S. Kant, A. Hausmann, F. Böke, R. Leube, R. Telle, H. Fischer, Acta Biomater. 2016, 44, 85.

[55] C. Zhou, D. Zhang, J. Zou, X. Li, S. Zou, J. Xie, ACS Appl. Mater. Interfaces 2019, 11, 26448.

[56] S. Dupont, L. Morsut, M. Aragona, E. Enzo, S. Giulitti, M. Cordenonsi, F. Zanconato, J. Le Digabel, M. Forcato, S. Bicciato, N. Elvassore, S. Piccolo, Nature 2011, 474, 179.

[57] S. Musah, P. J. Wrighton, Y. Zaltsman, X. Zhong, S. Zorn, M. B. Parlato, C. Hsiao, S. P. Palecek, Q. Chang, W. L. Murphy, L. L. Kiessling, Proc. Natl. Acad. Sci. 2014, 111, 13805.

[58] L. Azzolin, T. Panciera, S. Soligo, E. Enzo, S. Bicciato, S. Dupont, S. Bresolin, C. Frasson, G. Basso, V. Guzzardo, A. Fassina, M. Cordenonsi, S. Piccolo, Cell 2014, 158, 157.

[59] S. R. Caliari, S. L. Vega, M. Kwon, E. M. Soulas, J. A. Burdick, Biomaterials 2016, 103, 314.

[60] S. Lee, A. E. Stanton, X. Tong, F. Yang, Biomaterials 2019, 202, 26.

[61] M. Bao, J. Xie, A. Piruska, W. T. S. Huck, Nat. Commun. 2017, 8, 1.

[62] C. Cha, W. B. Liechty, A. Khademhosseini, N. A. Peppas, ACS Nano 2012, 6, 9353.

[63] R. K. Das, O. F. Zouani, Biomaterials 2014, 35, 5278.

[64] N.d.

[65] S. H. Oh, D. B. An, T. H. Kim, J. H. Lee, Acta Biomater. 2016, 35, 23.

[66] H. Yuan, Y. Zhou, M.-S. Lee, Y. Zhang, W.-J. Li, Acta Biomater. 2016, 42, 247.

[67] B. K. K. Teo, S. T. Wong, C. K. Lim, T. Y. S. Kung, C. H. Yap, Y. Ramagopal, L. H. Romer, E. K. F. Yim, ACS Nano 2013, 7, 4785.

(20)

105 Krebsbach, J. Fu, ACS Nano 2012, 6, 4094.

[69] X. Yao, R. Peng, J. Ding, Biomaterials 2013, 34, 930.

[70] C. H. Seo, K. Furukawa, K. Montagne, H. Jeong, T. Ushida, Biomaterials 2011, 32, 9568.

[71] Q. Zhou, L. Ge, C. F. Guimarães, P. T. Kühn, L. Yang, P. van Rijn, Adv. Mater. Interfaces 2018,

1800504, 4.

[72] Q. Zhou, O. Castañeda Ocampo, C. F. Guimarães, P. T. Kühn, T. G. Van Kooten, P. Van Rijn, ACS Appl. Mater. Interfaces 2017, 9, 31433.

[73] G. R. Liguori, Q. Zhou, T. T. A. Liguori, G. G. Barros, P. T. Kühn, L. F. P. Moreira, P. van Rijn, M. C. Harmsen, Stem Cells Int. 2019, 2019, 1.

[74] M. E. Berginski, S. M. Gomez, F1000Research 2013, 2, 68.

(21)

Referenties

GERELATEERDE DOCUMENTEN

Exploring combined influences of material topography, stiffness and chemistry on cell behavior at biointerfaces..

Although biophysical and biochemical cues located on biomaterial surfaces proved to profoundly affect (stem) cell behavior, subsequent investigations has raised

This was done by segmentation of the focal adhesion points and obtaining a binary image, which enables the determination of the effective surface coverage by focal adhesion, and

Qualitative comparison of the cell behavior on the different patterns shows that more focal adhesion contacts are formed on the flat gold reference and 0º gold as

We found that substrates decorated with CDM had a remarkable effect on cell orientation and cell area, and that there is a synergistic effect of specific topography combined with

The foundation of the results and findings in this thesis is cells that interact with topography ( chapter 3, 4, 5, 6) and also biochemical signals (chapter 7), however, it should

In Chapter 7, we prepare PDMS-based anisotropic wave-like topographies with different topography dimensions and subsequently combined with native ECM produced by human

Via high-throughput screening methods based on topography gradients, the optimum topography for neurogenesis is easily determined and translated towards a hierarchical